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Novel scaffolds for modulation of TRPV1 identified with pharmacophore modeling and virtual screening.

ABSTRACT: AIM:The transient receptor potential vanilloid type 1 (TRPV1) is responsible for pain perception in the peripheral nervous system (PNS). TRPV1 is thus considered a versatile target for development of non-opioid analgesics. RESULTS:Pharmacophore-based clustering of a publicly available data set of TRPV1 antagonists revealed a set of models, which were validated with data sets of inactive compounds, decoys and known drug candidates. The top ranked pharmacophore models were subsequently used for virtual screening. Based on a unique in-house protocol, a set of compounds was selected and biologically tested for modulation of TRPV1 in a voltage-clamp model. CONCLUSION:Pharmacophore models extracted from large public data sets are a valuable source for identification of novel scaffolds for TRPV1 receptor modulation.

SUBMITTER: Goldmann D

PROVIDER: S-EPMC6422283 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Novel scaffolds for modulation of TRPV1 identified with pharmacophore modeling and virtual screening.

Goldmann Daria D Pakfeifer Peter P Hering Steffen S Ecker Gerhard F GF

Future medicinal chemistry 20150101 3

<h4>Aim</h4>The transient receptor potential vanilloid type 1 (TRPV1) is responsible for pain perception in the peripheral nervous system (PNS). TRPV1 is thus considered a versatile target for development of non-opioid analgesics.<h4>Results</h4>Pharmacophore-based clustering of a publicly available data set of TRPV1 antagonists revealed a set of models, which were validated with data sets of inactive compounds, decoys and known drug candidates. The top ranked pharmacophore models were subsequen ...[more]

PMID: 25826358

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Project description:The mortality of cancer patients with neuroblastoma is increasing due to the limited availability of specific treatment options. Few drug candidates for combating neuroblastoma have been developed, and identifying novel therapeutic candidates against the disease is an urgent issue. It has been found that muc-N protein is amplified in one-third of human neuroblastomas and expressed as an attractive drug target against the disease. The myc-N protein interferes with the bromodomain and extraterminal (BET) family proteins. Pharmacologically inhibition of the protein potently depletes MYCN in neuroblastoma cells. BET inhibitors target MYCN transcription and show therapeutic efficacy against neuroblastoma. Therefore, the study aimed to identify potential inhibitors against the BET family protein, specifically Brd4 (brodamine-containing protein 4), to hinder the activity of neuroblastoma cells. To identify effective molecular candidates against the disease, a structure-based pharmacophore model was created for the binding site of the Brd4 protein. The pharmacophore model generated from the protein Brd4 was validated to screen potential natural active compounds. The compounds identified through the pharmacophore-model-based virtual-screening process were further screened through molecular docking, ADME (absorption, distribution, metabolism, and excretion), toxicity, and molecular dynamics (MD) simulation approach. The pharmacophore-model-based screening process initially identified 136 compounds, further evaluated based on molecular docking, ADME analysis, and toxicity approaches, identifying four compounds with good binding affinity and lower side effects. The stability of the selected compounds was also confirmed by dynamic simulation and molecular mechanics with generalized Born and surface area solvation (MM-GBSA) methods. Finally, the study identified four natural lead compounds, ZINC2509501, ZINC2566088, ZINC1615112, and ZINC4104882, that will potentially inhibit the activity of the desired protein and help to fight against neuroblastoma and related diseases. However, further evaluations through in vitro and in vivo assays are suggested to identify their efficacy against the desired protein and disease.

Dataset Information

Novel scaffolds for modulation of TRPV1 identified with pharmacophore modeling and virtual screening.

Publications

Novel scaffolds for modulation of TRPV1 identified with pharmacophore modeling and virtual screening.

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